code: def __init__(self, dataset, keys, transform_batch):
      if not isinstance(keys, tuple):
          keys = (keys,)
  
      self._dataset = dataset
      self._keys = keys
      self._transform_batch = transform_batch
  
file_path: chainer/chainer/dataset/tabular/_transform.py
imports: import six
  from chainer.dataset.tabular import tabular_dataset
label_desc: Use image node_id 1 to create a new _TransformBatch object from inherited base classes: tabular_dataset with example: obj = _TransformBatch(dataset, keys, transform_batch)